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Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks

机译:协作认知无线电网络的动态频谱访问和功率分配

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摘要

In the existing cooperative cognitive radio, primary users are generally assumed to be more than capable of supporting their target throughput, thereby the rate enhancement or the cooperation from secondary users actually has less attraction to primary users. Instead, they might be more interested in the benefits in other format. This paper presents a new cooperative cognitive radio framework, where primary users are willing to cooperatively relay data for secondary users with their under-utilized resource to earn the revenue. An auction model with multiple auctioneers, multiple bidders and hybrid divisible/indivisible commodities is proposed to solve channel bands and cooperative transmit power competitions among secondary users. For maximizing the utility, secondary users can select receiving primary user’s assistance (i.e., work in cooperative transmission mode) and purchase both spectrum and power from the primary user, or select direct transmission mode and just buy spectrum from the primary user. Then, the convergence of the proposed auction scheme to a Walrasian equilibrium is mathematically proved. Finally, the performance of the proposed scheme is verified by the simulation results.
机译:在现有的协作认知无线电中,通常假定主要用户比其能够支持其目标吞吐量更多,因此速率提高或来自次要用户的合作实际上对主要用户的吸引力较小。相反,他们可能对其他格式的好处更感兴趣。本文提出了一种新的合作认知无线电框架,主要用户愿意利用他们未充分利用的资源为次要用户合作中继数据,以赚取收入。提出了具有多个拍卖人,多个投标人和混合的可分割/不可分割的商品的拍卖模型,以解决渠道频带和次级用户之间的协作发射功率竞争。为了最大程度地发挥效用,辅助用户可以选择接收主要用户的帮助(即以协作传输模式工作),并从主要用户那里购买频谱和功率,或者选择直接传输模式,而只需从主要用户那里购买频谱。然后,从数学上证明了所提出的拍卖方案对瓦尔拉均衡的收敛性。最后,仿真结果验证了所提方案的性能。

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